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Papers tagged with "Machine"
A Comprehensive Survey Of Explainable Artificial Intelligence And Machine Learning Techniques For Heart Disease Diagnosis And Prediction
Cardiovascular Disorders Are Still Causing Morbidity And Mortality, Including Coronary Heart Disease, Structural Heart Disease With Congenital Heart Defects As Well As Atrial fibrillation. Such Measures Would Be Critical For Effective Early...
Cyber Intrusion Detection Using Machine Learning Techniques
Cyber Intrusions Are Becoming Increasingly Complex And Sophisticated, Making Them Difficult To Detect Using Conventional Rule-based And Signature-driven Security Mechanisms. The Rapid Growth Of Network Traffic And Evolving Attack Patterns D...
Artificial Intelligence–Driven Approaches For Liver Disease Diagnosis And Prediction: A Comprehensive Survey
Liver Diseases, Including Liver Cirrhosis And Cholangiocarcinoma, Are The Composites Formed In The Binding Process Of Buried Solidic aggregates Into Light And Porous Preforms. Epidemiology Analyses Suggest Increasing Disease Burden And long...
Performance Evaluation Of Hybrid Machine Learning Models For Credit Card Fraud Detection
Credit Card Fraud Cares With The Illegal Use Of Master Card Information For Purchases. Credit Card Transactions Are Often Accomplished Either Physically Or Digitally. In The Manual Transactions, The Credit Card Is Included During The Transa...
OPTIMIZED PREDICTIVE MODEL FOR INSURANCE CLAIM FRAUD DETECTION AND ANALYSIS USING MACHINE LEARNING
Insurance Fraud Causes Significant Financial Losses And Is Difficult To Detect Due To Its Similarity To Legitimate Claims. The Growing Volume Of Data And Increasing Fraud Complexity Make Automated Detection Essential. Machine Learning Provi...
EARLY DETECTION OF CANCER USING ARTIFICIAL INTELLIGENCE
The Identification Of Lung Cancer At The Early Stage Is Very Demanding And Difficult Task Due To Construction Of The Cell. The Cancer Grows In The Body When Cancerous Cells Start To Develop Uncontrollably. The Image Processing Plays Vital R...
The State-of-the-Art Review On The Machine Learning Techniques In Banking And Financial Services (BFS)
The Financial Sector Has Undergone Many Changes With The Advancement Of Technology. Artificial Intelligence Algorithms Are Used To Analyze Large Datasets And Support Making Trades At High Speed Based On Market Patterns. Machine Learning Alg...
VisionAssist: A Neural Network-Based Companion For The Visually Impaired
This Study Introduces VisionAssist, A Neural Network-based Companion That Helps People Who Cannot See Well. It Uses Smart Technology To Understand The Environment And Provide Real-time Information. VisionAssist Uses Special Computer Learnin...
E-Counsellor For Centralized Admission Process
The Centralized Admission Process (CAP) Carried Out By The Maharashtra State CET Cell Plays A Crucial Role In Allocating Seats To Students Seeking Admission To Engineering Programs. Every Year, Thousands Of Students Struggle To Interpret Cu...
AQI Index Analyzer Using Machine Learning
Air Quality Index AQI Prediction Is A Critical Public Health Task That Involves Leveraging Data-driven Methods To Forecast Pollutant Concentrations And The Resulting AQI Under Dynamic Environmental And Meteorological Conditions1. This R...
SYNETHETIC TIME SERIES GENERATOR FOR ANAMOLY DETECTION
Industries Increasingly Depend On Continuous Monitoring Systems Where Fast And Accurate Anomaly Detection Is Crucial For Preventing Failures And Ensuring Operational Reliability. This Project Proposes A Lightweight Python-based Synthetic Ti...
PHISHNET: Intelligent Threat Analysis System Against Phishing Attacks
Digital Chat’s Fast Rise Makes Smart Online Protection More Urgent, Especially To Spot And Stop Fake Message Scams On Different Apps. PHISHNET Uses AI To Check Threats In Many Channels, Combining Learning Machines, Number Crunching, And Hum...
Multimodal Emotion Recognition Using Visual-Text Fusion With ResNet-50 And SVM On The MELD Dataset
This Paper Presents A Multimodal Emotion Recognition Framework That Integrates Visual And Textual Modalities To Improve The Accuracy And Robustness Of Emotion Classification Systems. The Visual Modality Is Processed Using A Pre-trained ResN...
Enhanced Deepfake Detection Using Preprocessed Video Frames And Convolution Neural Networks
Digital Security And Authenticity Are Being Threatened By Deepfake Technology, Which Is Powered By Sophisticated Generative Models. A Convolutional Neural Network (CNN) Model Trained On Facial Data Taken From Video Frames Is Used In This St...
AI-Based Career Path Recommendation System
In The Modern World, Students And Professionals Often Face Difficulty Identifying Suitable Career Paths Aligned With Their Academic Performance, Technical Skills, And Personal Interests. This Paper Presents An AI-Based Career Path Recommend...